this post was submitted on 11 Mar 2026
180 points (98.4% liked)

Technology

82549 readers
4472 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related news or articles.
  3. Be excellent to each other!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
  9. Check for duplicates before posting, duplicates may be removed
  10. Accounts 7 days and younger will have their posts automatically removed.

Approved Bots


founded 2 years ago
MODERATORS
 

Evaluating 35 open-weight models across three context lengths (32K, 128K, 200K), four temperatures, and three hardware platforms—consuming 172 billion tokens across more than 4,000 runs—we find that the answer is “substantially, and unavoidably.” Even under optimal conditions—best model, best temperature, temperature chosen specifically to minimize fabrication—the floor is non-zero and rises steeply with context length. At 32K, the best model (GLM 4.5) fabricates 1.19% of answers, top-tier models fabricate 5–7%, and the median model fabricates roughly 25%.

you are viewing a single comment's thread
view the rest of the comments
[–] snooggums@piefed.world 10 points 2 days ago (12 children)

Aka being wrong, but with a fancy name!

When Cletus is wrong because he mixed up a dog and a cat when deacribing their behavior do we call it hallucinating? No.

[–] Scipitie@lemmy.dbzer0.com 23 points 2 days ago (10 children)

Accepting concepts like "right" and "wrong" gives those tools way too much credit, basically following the AI narrative of the corporations behind them. They can only be used about the output but not the tool itself.

To be precise:

LLMs can't be right or wrong because the way they work has no link to any reality - it's stochastics, not evaluation. I also don't like the term halluzination for the same reason. It's simply a too high temperature setting jumping into a closeby but unrelated vector set.

Why this is an important distinction: Arguing that an LLM is wrong is arguing on the ground of ChatGPT and the likes: It's then a "oh but wen make them better!" And their marketing departments overjoy.

To take your calculator analogy: like these tools do have floating point errors which are inherent to those tools wrong outputs are a dore part of LLMs.

We can minimize that but then they automatically use part of their function. This limitation is way stronger on LLMs than limiting a calculator to 16 digits after the comma though...

[–] CubitOom@infosec.pub 5 points 2 days ago* (last edited 2 days ago) (9 children)

What word would you propose to use instead?

Fabrication?

[–] eceforge@discuss.tchncs.de 2 points 1 day ago

No comment on the rest of the thread but I always though "confabulation" was a more accurate word than hallucination for what LLMs tend to do.

The "signs and symptoms" part of the article really seems oddly familiar when compared to interacting with an LLM sometimes haha.

load more comments (8 replies)
load more comments (8 replies)
load more comments (9 replies)